Triple

T15850742
Position Surface form Disambiguated ID Type / Status
Subject Jeff Newton E384329 entity
Predicate wonChampionshipWith P313 FINISHED
Object Osaka Evessa E11302 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Osaka Evessa | Statement: [Jeff Newton, wonChampionshipWith, Osaka Evessa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osaka Evessa
Context triple: [Jeff Newton, wonChampionshipWith, Osaka Evessa]
  • A. Osaka Evessa chosen
    Osaka Evessa is a professional Japanese basketball team based in Osaka that competes in the B.League.
  • B. Diamor Osaka
    Diamor Osaka is an underground shopping mall in Osaka’s Umeda district, featuring a variety of fashion, lifestyle, and dining options.
  • C. Osan
    Osan is a city in Gyeonggi Province, South Korea, known for its proximity to Osan Air Base and its role as a regional transportation and commercial hub.
  • D. Cerezo Osaka
    Cerezo Osaka is a professional Japanese football club based in Osaka, known for competing in the J1 League and for its intense local rivalry with Gamba Osaka in the Osaka derby.
  • E. Kashiwa
    Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cab0fe48190bd6629e071761e91 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93fbcb481908e7b7ddc46992f79 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.